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Charts
Commit
df4f6735
authored
Oct 17, 2021
by
BellCodeEditor
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parent
cbf13618
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Showing
6 changed files
with
200 additions
and
3 deletions
a.py
b.py
c.html
c.py
my_csv.py
scores.csv
a.py
0 → 100644
View file @
df4f6735
import
csv
with
open
(
"scores.csv"
,
"r"
,
encoding
=
"utf-8"
)
as
f
:
f_csv
=
csv
.
reader
(
f
)
print
(
f_csv
)
f_csv
=
list
(
f_csv
)
print
(
f_csv
)
\ No newline at end of file
b.py
0 → 100644
View file @
df4f6735
from
pyecharts.charts
import
Bar
#创建图表对象
bar
=
Bar
()
#传入对应数据
bar
.
add_xaxis
([
"衬衫"
,
"羊毛衫"
,
"雪纺衫"
,
"裤子"
,
"高跟鞋"
,
"袜子"
])
bar
.
add_yaxis
(
"月产品销量表"
,[
5
,
20
,
36
,
10
,
75
,
90
])
#保存到本地文件
bar
.
render
()
\ No newline at end of file
c.html
0 → 100644
View file @
df4f6735
<!DOCTYPE html>
<html>
<head>
<meta
charset=
"UTF-8"
>
<title>
Awesome-pyecharts
</title>
<script
type=
"text/javascript"
src=
"https://assets.pyecharts.org/assets/echarts.min.js"
></script>
</head>
<body>
<div
id=
"dbe2c9fb2afa4e4fb0c9442b75905f14"
class=
"chart-container"
style=
"width:900px; height:500px;"
></div>
<script>
var
chart_dbe2c9fb2afa4e4fb0c9442b75905f14
=
echarts
.
init
(
document
.
getElementById
(
'dbe2c9fb2afa4e4fb0c9442b75905f14'
),
'white'
,
{
renderer
:
'canvas'
});
var
option_dbe2c9fb2afa4e4fb0c9442b75905f14
=
{
"animation"
:
true
,
"animationThreshold"
:
2000
,
"animationDuration"
:
1000
,
"animationEasing"
:
"cubicOut"
,
"animationDelay"
:
0
,
"animationDurationUpdate"
:
300
,
"animationEasingUpdate"
:
"cubicOut"
,
"animationDelayUpdate"
:
0
,
"color"
:
[
"#c23531"
,
"#2f4554"
,
"#61a0a8"
,
"#d48265"
,
"#749f83"
,
"#ca8622"
,
"#bda29a"
,
"#6e7074"
,
"#546570"
,
"#c4ccd3"
,
"#f05b72"
,
"#ef5b9c"
,
"#f47920"
,
"#905a3d"
,
"#fab27b"
,
"#2a5caa"
,
"#444693"
,
"#726930"
,
"#b2d235"
,
"#6d8346"
,
"#ac6767"
,
"#1d953f"
,
"#6950a1"
,
"#918597"
],
"series"
:
[
{
"type"
:
"bar"
,
"name"
:
"\u5c0f\u667a"
,
"legendHoverLink"
:
true
,
"data"
:
[
88
,
95
,
96
,
94
,
62
,
66
,
64
,
93
,
89
],
"showBackground"
:
false
,
"barMinHeight"
:
0
,
"barCategoryGap"
:
"20%"
,
"barGap"
:
"30%"
,
"large"
:
false
,
"largeThreshold"
:
400
,
"seriesLayoutBy"
:
"column"
,
"datasetIndex"
:
0
,
"clip"
:
true
,
"zlevel"
:
0
,
"z"
:
2
,
"label"
:
{
"show"
:
true
,
"position"
:
"top"
,
"margin"
:
8
}
}
],
"legend"
:
[
{
"data"
:
[
"\u5c0f\u667a"
],
"selected"
:
{
"\u5c0f\u667a"
:
true
}
}
],
"tooltip"
:
{
"show"
:
true
,
"trigger"
:
"item"
,
"triggerOn"
:
"mousemove|click"
,
"axisPointer"
:
{
"type"
:
"line"
},
"showContent"
:
true
,
"alwaysShowContent"
:
false
,
"showDelay"
:
0
,
"hideDelay"
:
100
,
"textStyle"
:
{
"fontSize"
:
14
},
"borderWidth"
:
0
,
"padding"
:
5
},
"xAxis"
:
[
{
"show"
:
true
,
"scale"
:
false
,
"nameLocation"
:
"end"
,
"nameGap"
:
15
,
"gridIndex"
:
0
,
"inverse"
:
false
,
"offset"
:
0
,
"splitNumber"
:
5
,
"minInterval"
:
0
,
"splitLine"
:
{
"show"
:
false
,
"lineStyle"
:
{
"show"
:
true
,
"width"
:
1
,
"opacity"
:
1
,
"curveness"
:
0
,
"type"
:
"solid"
}
},
"data"
:
[
"\u8bed\u6587"
,
"\u6570\u5b66"
,
"\u82f1\u8bed"
,
"\u5730\u7406"
,
"\u5386\u53f2"
,
"\u653f\u6cbb"
,
"\u751f\u7269"
,
"\u5316\u5b66"
,
"\u7269\u7406"
]
}
],
"yAxis"
:
[
{
"show"
:
true
,
"scale"
:
false
,
"nameLocation"
:
"end"
,
"nameGap"
:
15
,
"gridIndex"
:
0
,
"inverse"
:
false
,
"offset"
:
0
,
"splitNumber"
:
5
,
"minInterval"
:
0
,
"splitLine"
:
{
"show"
:
false
,
"lineStyle"
:
{
"show"
:
true
,
"width"
:
1
,
"opacity"
:
1
,
"curveness"
:
0
,
"type"
:
"solid"
}
}
}
]
};
chart_dbe2c9fb2afa4e4fb0c9442b75905f14
.
setOption
(
option_dbe2c9fb2afa4e4fb0c9442b75905f14
);
</script>
</body>
</html>
c.py
0 → 100644
View file @
df4f6735
from
pyecharts.charts
import
Bar
bar
=
Bar
()
subjeckt
=
[
"语文"
,
"数学"
,
"英语"
,
"地理"
,
"历史"
,
"政治"
,
"生物"
,
"化学"
,
"物理"
]
grade
=
[
88
,
95
,
96
,
94
,
62
,
66
,
64
,
93
,
89
]
bar
.
add_xaxis
(
subjeckt
)
bar
.
add_yaxis
(
"小智"
,
grade
)
bar
.
render
(
"c.html"
)
\ No newline at end of file
my_csv.py
View file @
df4f6735
...
@@ -6,4 +6,4 @@ data = [["姓名", "语文", "数学", "英语"],
...
@@ -6,4 +6,4 @@ data = [["姓名", "语文", "数学", "英语"],
with
open
(
"scores.csv"
,
"w"
,
encoding
=
"utf-8"
,
newline
=
''
)
as
csvfile
:
with
open
(
"scores.csv"
,
"w"
,
encoding
=
"utf-8"
,
newline
=
''
)
as
csvfile
:
writer
=
csv
.
writer
(
csvfile
)
writer
=
csv
.
writer
(
csvfile
)
writer
.
writerow
(
data
)
writer
.
writerows
(
data
)
\ No newline at end of file
\ No newline at end of file
scores.csv
View file @
df4f6735
"['姓名', '语文', '数学', '英语']","['小贝', 98, 99, 92]","['聪聪', 95, 91, 95]"
姓名,语文,数学,英语
小贝,98,99,92
聪聪,95,91,95
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